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The mongodb npm package is the official Node.js driver for MongoDB. It provides a high-level API to connect to and interact with MongoDB databases. With this package, developers can perform CRUD operations, manage database connections, and work with MongoDB features like transactions, indexes, and aggregation.
Connecting to a MongoDB database
This code sample demonstrates how to connect to a MongoDB database using the MongoClient object provided by the mongodb package.
const { MongoClient } = require('mongodb');
const url = 'mongodb://localhost:27017';
const client = new MongoClient(url);
async function connect() {
try {
await client.connect();
console.log('Connected to MongoDB');
} catch (e) {
console.error(e);
}
}
connect();
CRUD Operations
This code sample shows how to perform CRUD (Create, Read, Update, Delete) operations on a MongoDB collection using the mongodb package.
const { MongoClient } = require('mongodb');
const url = 'mongodb://localhost:27017';
const client = new MongoClient(url);
const dbName = 'myDatabase';
async function crudOperations() {
try {
await client.connect();
const db = client.db(dbName);
const collection = db.collection('documents');
// Create a document
await collection.insertOne({ a: 1 });
// Read documents
const docs = await collection.find({}).toArray();
// Update a document
await collection.updateOne({ a: 1 }, { $set: { b: 1 } });
// Delete a document
await collection.deleteOne({ b: 1 });
} catch (e) {
console.error(e);
} finally {
await client.close();
}
}
crudOperations();
Index Management
This code sample illustrates how to manage indexes in a MongoDB collection, including creating an index and listing all indexes.
const { MongoClient } = require('mongodb');
const url = 'mongodb://localhost:27017';
const client = new MongoClient(url);
const dbName = 'myDatabase';
async function manageIndexes() {
try {
await client.connect();
const db = client.db(dbName);
const collection = db.collection('documents');
// Create an index
await collection.createIndex({ a: 1 });
// List indexes
const indexes = await collection.indexes();
console.log(indexes);
} catch (e) {
console.error(e);
} finally {
await client.close();
}
}
manageIndexes();
Aggregation
This code sample demonstrates how to use the aggregation framework provided by MongoDB to process data and compute aggregated results.
const { MongoClient } = require('mongodb');
const url = 'mongodb://localhost:27017';
const client = new MongoClient(url);
const dbName = 'myDatabase';
async function aggregateData() {
try {
await client.connect();
const db = client.db(dbName);
const collection = db.collection('documents');
// Perform an aggregation query
const aggregation = await collection.aggregate([
{ $match: { a: 1 } },
{ $group: { _id: '$b', total: { $sum: 1 } } }
]).toArray();
console.log(aggregation);
} catch (e) {
console.error(e);
} finally {
await client.close();
}
}
aggregateData();
Mongoose is an Object Data Modeling (ODM) library for MongoDB and Node.js. It manages relationships between data, provides schema validation, and is used to translate between objects in code and the representation of those objects in MongoDB. Mongoose offers a more structured approach to data handling with predefined schemas compared to the flexibility of the mongodb package.
Couchbase is the official Node.js client library for the Couchbase database. While Couchbase is a different NoSQL database system with its own set of features and capabilities, the couchbase npm package offers similar functionalities in terms of CRUD operations, connection management, and querying as the mongodb package does for MongoDB.
Redis is an in-memory data structure store, used as a database, cache, and message broker. The npm package for Redis provides Node.js bindings to the Redis server. It is similar to mongodb in that it allows for data storage and retrieval, but it operates in-memory and is typically used for different use cases such as caching.
FAQs
The official MongoDB driver for Node.js
The npm package mongodb receives a total of 5,508,113 weekly downloads. As such, mongodb popularity was classified as popular.
We found that mongodb demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 8 open source maintainers collaborating on the project.
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